flowforge
Unverified Other strategy on Multi by jialuechen. BotFinder score 18 out of 100.
Algo Library for Order Flow Inference and TCA
Source: github
BotFinder analysis pending.
flowforge
FlowForge Python package pairing two engines for metaorder research: a generation engine that forward-simulates institutional order flow via mean-variance optimization on tunable alpha signals, producing millions of labeled orders switchable between informed and uninformed flow for execution algo testing and causal A/B experiments at zero trading cost; and an impact engine that reconstructs realistic metaorders from public trade data via randomized trader mapping, recovering proprietary-grade stylized facts (Square Root Law, concave execution profiles, impact decay) and removing the proprietary-data barrier to impact research. Install Dependencies: numpy, pandas, scipy. Engine 1 — order flow generation (flowforge.generate) Each period a bootstrap alpha vector alpha = rho r + sqrt(1-rho^2) z (information coefficient ≈ rho by construction) feeds a mean-variance problem with quadratic transaction costs. The closed-form solution is a Garleanu-Pedersen partial adjustment toward the Markowitz target, so order splitting and sign autocorrelation emerge endogenously. Setting rho=0 flips the s
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